| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Pcode | string | SEL | 0% | 1 | SB |
region_name |
Region Name | string | SEL | 0% | 1 | Solomon Islands |
population_count |
Population Count | integer | SEL | 0% | 1 | 504985 |
households |
Households | integer | SEL | 0% | 1 | 91251 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin Level | string | 0% | 1 | admin_0 |
year |
Year | integer | 0% | 1 | 2009 |
avg_household_size |
Avg Household Size | float | 0% | 1 | 5.5 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Pcode | string | SEL | 0% | 10 | SB-10, SB-5, SB-9, SB-6, SB-4 |
region_name |
Region Name | string | SEL | 0% | 10 | Honiara, Rennell-Bell, Temotu, Guadalcanal, Central |
population_count |
Population Count | integer | SEL | 0% | 10 | 62960, 3006, 21104, 91919, 25809 |
households |
Households | integer | SEL | 0% | 10 | 8981, 688, 4303, 17163, 4905 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin Level | string | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
year |
Year | integer | 0% | 1 | 2009, 2009, 2009, 2009, 2009 |
avg_household_size |
Avg Household Size | float | 0% | 7 | 7, 4.4, 4.9, 5.4, 5.3 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 1 | SB |
region_name |
Region name | string | SEL | 0% | 1 | Solomon Islands |
F_TL |
Female population | integer | SEL | 0% | 1 | 377565 |
M_TL |
Male population | integer | SEL | 0% | 1 | 391136 |
T_TL |
Total population | integer | SEL | 0% | 1 | 768701 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_0 |
year |
Reference year | integer | 0% | 1 | 2023 |
year |
year | integer | 0% | 1 | 2023 |
F_00_04 |
Female population age 0-4 | integer | 0% | 1 | 42981 |
F_05_09 |
Female population age 5-9 | integer | 0% | 1 | 42858 |
F_10_14 |
Female population age 10-14 | integer | 0% | 1 | 43284 |
F_15_19 |
Female population age 15-19 | integer | 0% | 1 | 42591 |
F_20_24 |
Female population age 20-24 | integer | 0% | 1 | 36630 |
F_25_29 |
Female population age 25-29 | integer | 0% | 1 | 28665 |
F_30_34 |
Female population age 30-34 | integer | 0% | 1 | 25616 |
F_35_39 |
Female population age 35-39 | integer | 0% | 1 | 24199 |
F_40_44 |
Female population age 40-44 | integer | 0% | 1 | 21367 |
F_45_49 |
Female population age 45-49 | integer | 0% | 1 | 18410 |
F_50_54 |
Female population age 50-54 | integer | 0% | 1 | 15379 |
F_55_59 |
Female population age 55-59 | integer | 0% | 1 | 11268 |
F_60_64 |
Female population age 60-64 | integer | 0% | 1 | 8364 |
F_65_69 |
Female population age 65-69 | integer | 0% | 1 | 5825 |
F_70_74 |
Female population age 70-74 | integer | 0% | 1 | 4601 |
F_75_79 |
Female population age 75-79 | integer | 0% | 1 | 2661 |
F_80Plus |
F_80Plus | integer | 0% | 1 | 2866 |
M_00_04 |
Male population age 0-4 | integer | 0% | 1 | 44911 |
M_05_09 |
Male population age 5-9 | integer | 0% | 1 | 44848 |
M_10_14 |
Male population age 10-14 | integer | 0% | 1 | 44352 |
M_15_19 |
Male population age 15-19 | integer | 0% | 1 | 43284 |
M_20_24 |
Male population age 20-24 | integer | 0% | 1 | 37692 |
M_25_29 |
Male population age 25-29 | integer | 0% | 1 | 30847 |
M_30_34 |
Male population age 30-34 | integer | 0% | 1 | 26467 |
M_35_39 |
Male population age 35-39 | integer | 0% | 1 | 25585 |
M_40_44 |
Male population age 40-44 | integer | 0% | 1 | 22028 |
M_45_49 |
Male population age 45-49 | integer | 0% | 1 | 18868 |
| +24 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 10 | SB04, SB01, SB06, SB10, SB03 |
region_name |
Region name | string | SEL | 0% | 10 | Central, Choiseul, Guadalcanal, Honiara, Isabel |
F_TL |
Female population | integer | SEL | 0% | 10 | 15843, 16016, 80608, 67406, 15891 |
M_TL |
Male population | integer | SEL | 0% | 10 | 16474, 16790, 83625, 70737, 17612 |
T_TL |
Total population | integer | SEL | 0% | 10 | 32317, 32806, 164233, 138143, 33503 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
year |
Reference year | integer | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
year |
year | integer | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
F_00_04 |
Female population age 0-4 | integer | 0% | 10 | 1740, 2095, 9586, 6167, 1789 |
F_05_09 |
Female population age 5-9 | integer | 0% | 10 | 1933, 1967, 9299, 5911, 1805 |
F_10_14 |
Female population age 10-14 | integer | 0% | 10 | 1963, 1927, 9333, 5822, 1901 |
F_15_19 |
Female population age 15-19 | integer | 0% | 10 | 1725, 1620, 9233, 7901, 1686 |
F_20_24 |
Female population age 20-24 | integer | 0% | 10 | 1224, 1193, 8600, 9463, 1184 |
F_25_29 |
Female population age 25-29 | integer | 0% | 10 | 1139, 1119, 6639, 6740, 1044 |
F_30_34 |
Female population age 30-34 | integer | 0% | 10 | 1023, 963, 5626, 5609, 1001 |
F_35_39 |
Female population age 35-39 | integer | 0% | 10 | 1019, 959, 5018, 4941, 1014 |
F_40_44 |
Female population age 40-44 | integer | 0% | 10 | 912, 900, 4446, 4314, 934 |
F_45_49 |
Female population age 45-49 | integer | 0% | 10 | 892, 835, 3600, 3321, 903 |
F_50_54 |
Female population age 50-54 | integer | 0% | 10 | 687, 707, 3126, 2603, 684 |
F_55_59 |
Female population age 55-59 | integer | 0% | 10 | 455, 519, 2051, 1737, 591 |
F_60_64 |
Female population age 60-64 | integer | 0% | 10 | 368, 400, 1370, 1164, 452 |
F_65_69 |
Female population age 65-69 | integer | 0% | 10 | 291, 265, 994, 668, 307 |
F_70_74 |
Female population age 70-74 | integer | 0% | 10 | 218, 245, 801, 505, 248 |
F_75_79 |
Female population age 75-79 | integer | 0% | 10 | 126, 142, 434, 213, 191 |
F_80Plus |
F_80Plus | integer | 0% | 10 | 128, 160, 452, 327, 157 |
M_00_04 |
Male population age 0-4 | integer | 0% | 10 | 1839, 2220, 10188, 6452, 1914 |
M_05_09 |
Male population age 5-9 | integer | 0% | 10 | 2047, 2045, 9631, 5994, 1967 |
M_10_14 |
Male population age 10-14 | integer | 0% | 10 | 1978, 1976, 9442, 5751, 1901 |
M_15_19 |
Male population age 15-19 | integer | 0% | 10 | 1823, 1696, 9255, 7486, 1800 |
M_20_24 |
Male population age 20-24 | integer | 0% | 10 | 1428, 1207, 8659, 9774, 1452 |
M_25_29 |
Male population age 25-29 | integer | 0% | 10 | 1156, 1239, 7078, 7656, 1274 |
M_30_34 |
Male population age 30-34 | integer | 0% | 10 | 1033, 1025, 5885, 6133, 1146 |
M_35_39 |
Male population age 35-39 | integer | 0% | 10 | 988, 1130, 5243, 5292, 1181 |
M_40_44 |
Male population age 40-44 | integer | 0% | 10 | 960, 1006, 4538, 4268, 1176 |
M_45_49 |
Male population age 45-49 | integer | 0% | 10 | 866, 883, 3930, 3551, 1017 |
| +24 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 50 | SB040430, SB040431, SB010103, SB010102, SB010101 |
region_name |
Region name | string | SEL | 0% | 50 | Nggela, Savo-Russull Islands, East Choiseul, North West... |
F_TL |
Female population | integer | SEL | 0% | 50 | 10337, 5506, 3457, 7491, 5068 |
M_TL |
Male population | integer | SEL | 0% | 50 | 10837, 5637, 3757, 7765, 5268 |
T_TL |
Total population | integer | SEL | 0% | 50 | 21174, 11143, 7214, 15256, 10336 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
year |
Reference year | integer | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
year |
year | integer | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
F_00_04 |
Female population age 0-4 | integer | 0% | 49 | 1120, 620, 438, 1013, 644 |
F_05_09 |
Female population age 5-9 | integer | 0% | 50 | 1207, 726, 419, 922, 626 |
F_10_14 |
Female population age 10-14 | integer | 0% | 48 | 1234, 729, 393, 957, 577 |
F_15_19 |
Female population age 15-19 | integer | 0% | 49 | 1089, 636, 367, 741, 512 |
F_20_24 |
Female population age 20-24 | integer | 0% | 50 | 828, 396, 271, 568, 354 |
F_25_29 |
Female population age 25-29 | integer | 0% | 49 | 750, 389, 230, 548, 341 |
F_30_34 |
Female population age 30-34 | integer | 0% | 50 | 705, 318, 203, 461, 299 |
F_35_39 |
Female population age 35-39 | integer | 0% | 46 | 652, 367, 216, 448, 295 |
F_40_44 |
Female population age 40-44 | integer | 0% | 49 | 593, 319, 188, 416, 296 |
F_45_49 |
Female population age 45-49 | integer | 0% | 46 | 596, 296, 200, 366, 269 |
F_50_54 |
Female population age 50-54 | integer | 0% | 44 | 452, 235, 149, 336, 222 |
F_55_59 |
Female population age 55-59 | integer | 0% | 48 | 321, 134, 118, 214, 187 |
F_60_64 |
Female population age 60-64 | integer | 0% | 47 | 257, 111, 92, 161, 147 |
F_65_69 |
Female population age 65-69 | integer | 0% | 42 | 207, 84, 60, 109, 96 |
F_70_74 |
Female population age 70-74 | integer | 0% | 40 | 154, 64, 54, 103, 88 |
F_75_79 |
Female population age 75-79 | integer | 0% | 40 | 83, 43, 32, 68, 42 |
F_80Plus |
F_80Plus | integer | 0% | 38 | 89, 39, 27, 60, 73 |
M_00_04 |
Male population age 0-4 | integer | 0% | 50 | 1210, 629, 467, 1104, 649 |
M_05_09 |
Male population age 5-9 | integer | 0% | 49 | 1344, 703, 426, 966, 653 |
M_10_14 |
Male population age 10-14 | integer | 0% | 50 | 1226, 752, 434, 928, 614 |
M_15_19 |
Male population age 15-19 | integer | 0% | 46 | 1179, 644, 374, 776, 546 |
M_20_24 |
Male population age 20-24 | integer | 0% | 50 | 970, 458, 283, 561, 363 |
M_25_29 |
Male population age 25-29 | integer | 0% | 48 | 775, 381, 312, 546, 381 |
M_30_34 |
Male population age 30-34 | integer | 0% | 49 | 698, 335, 221, 495, 309 |
M_35_39 |
Male population age 35-39 | integer | 0% | 48 | 655, 333, 287, 495, 348 |
M_40_44 |
Male population age 40-44 | integer | 0% | 46 | 615, 345, 247, 439, 320 |
M_45_49 |
Male population age 45-49 | integer | 0% | 49 | 578, 288, 203, 401, 279 |
| +24 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 100 | SB0404300403, SB0404300407, SB0404300408, SB0404300401,... |
region_name |
Region name | string | SEL | 0% | 100 | East Gela, North East Gela, North West Gela,... |
F_TL |
Female population | integer | SEL | 0% | 100 | 1283, 1351, 1073, 1907, 988 |
M_TL |
Male population | integer | SEL | 0% | 98 | 1375, 1388, 1090, 2068, 952 |
T_TL |
Total population | integer | SEL | 0% | 98 | 2658, 2739, 2163, 3975, 1940 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_3, admin_3, admin_3, admin_3, admin_3 |
year |
Reference year | integer | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
year |
year | integer | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
ADM3_NAME_ALT |
ADM3_NAME_ALT | string | 0% | 100 | East Gela, North East Gela, North West Gela,... |
F_00_04 |
Female population age 0-4 | integer | 0% | 85 | 151, 141, 108, 226, 111 |
F_05_09 |
Female population age 5-9 | integer | 0% | 87 | 152, 181, 131, 213, 118 |
F_10_14 |
Female population age 10-14 | integer | 0% | 86 | 135, 169, 108, 221, 107 |
F_15_19 |
Female population age 15-19 | integer | 0% | 88 | 153, 143, 98, 170, 106 |
F_20_24 |
Female population age 20-24 | integer | 0% | 84 | 109, 83, 85, 158, 77 |
F_25_29 |
Female population age 25-29 | integer | 0% | 76 | 104, 81, 75, 147, 75 |
F_30_34 |
Female population age 30-34 | integer | 0% | 80 | 96, 101, 77, 123, 55 |
F_35_39 |
Female population age 35-39 | integer | 0% | 72 | 68, 89, 59, 134, 58 |
F_40_44 |
Female population age 40-44 | integer | 0% | 75 | 63, 71, 56, 104, 58 |
F_45_49 |
Female population age 45-49 | integer | 0% | 76 | 84, 74, 62, 103, 64 |
F_50_54 |
Female population age 50-54 | integer | 0% | 65 | 61, 66, 51, 80, 42 |
F_55_59 |
Female population age 55-59 | integer | 0% | 60 | 25, 32, 51, 68, 37 |
F_60_64 |
Female population age 60-64 | integer | 0% | 55 | 22, 34, 34, 63, 18 |
F_65_69 |
Female population age 65-69 | integer | 0% | 46 | 19, 27, 37, 39, 32 |
F_70_74 |
Female population age 70-74 | integer | 0% | 40 | 21, 22, 22, 21, 20 |
F_75_79 |
Female population age 75-79 | integer | 0% | 31 | 10, 18, 8, 18, 4 |
F_80Plus |
F_80Plus | integer | 0% | 33 | 10, 19, 11, 19, 6 |
M_00_04 |
Male population age 0-4 | integer | 0% | 87 | 156, 173, 138, 236, 102 |
M_05_09 |
Male population age 5-9 | integer | 0% | 87 | 180, 179, 134, 247, 116 |
M_10_14 |
Male population age 10-14 | integer | 0% | 90 | 171, 158, 118, 243, 118 |
M_15_19 |
Male population age 15-19 | integer | 0% | 84 | 144, 162, 116, 235, 93 |
M_20_24 |
Male population age 20-24 | integer | 0% | 88 | 132, 91, 77, 161, 89 |
M_25_29 |
Male population age 25-29 | integer | 0% | 78 | 95, 75, 79, 157, 54 |
M_30_34 |
Male population age 30-34 | integer | 0% | 84 | 88, 110, 76, 127, 53 |
M_35_39 |
Male population age 35-39 | integer | 0% | 75 | 81, 79, 54, 137, 65 |
M_40_44 |
Male population age 40-44 | integer | 0% | 78 | 68, 76, 52, 125, 56 |
| +25 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SB, SB, SB, SB, SB |
population_count |
Population count | float | SEL | 2% | 65 | 139688.0, 142912.0, 146201.0, 149589.0, 153085.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 47.683, 48.336, 49.037, 49.815, 50.583 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 14% | 57 | 153.450784088184, 166.888037688373, 165.857344778641,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 99% | 1 | 76.5999984741211 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 167.0, 160.1, 153.5, 146.7, 140.0 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 97% | 2 | 22.7, 12.7 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Solomon Islands, Solomon Islands, Solomon Islands,... |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SB, SB, SB, SB, SB |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 47.683, 48.336, 49.037, 49.815, 50.583 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 47% | 34 | 15.2, 14.9, 14.6, 14.2, 13.8 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 167.0, 160.1, 153.5, 146.7, 140.0 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 30 | 209.0, 226.0, 200.0, 193.0, 188.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 63 | 7.065, 7.052, 7.042, 7.034, 7.047 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 63 | 46.768, 46.654, 46.547, 46.459, 46.457 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 63 | 17.278, 16.866, 16.398, 15.902, 15.446 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 77% | 15 | 0.186, 0.205, 0.135, 0.152, 0.157 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 92% | 5 | 7.33050870895386, 7.34159994125366, 5.68289995193481,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 32% | 30 | 46.0, 35.0, 23.0, 27.0, 45.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 4.82778931, 6.60712814, 10.10627556, 7.07724714, 7.72556639 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Solomon Islands, Solomon Islands, Solomon Islands,... |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 78 | amba1266, anut1237, area1240, aros1241, asum1237 |
name |
Name | string | CCL | 0% | 78 | Amba (Solomon Islands), Anuta, 'Are'are, Arosi, Asumboa |
iso639_3 |
Iso639 3 | string | CCL | 3% | 76 | utp, aud, alu, aia, aua |
level |
Level | string | CCL | 0% | 1 | language, language, language, language, language |
family_name |
Family name | string | CCL | 100% | - | - |
family_glottocode |
Family glottocode | string | CCL | 5% | 6 | aust1307, aust1307, aust1307, aust1307, aust1307 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 5% | 38 | utup1238, nucl1485, sout3198, sanc1243, utup1238 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 3 | ['SB'], ['SB'], ['SB'], ['SB'], ['SB'] |
child_family_count |
Child family count | integer | CCL | 0% | 1 | 0, 0, 0, 0, 0 |
child_language_count |
Child language count | integer | CCL | 0% | 1 | 0, 0, 0, 0, 0 |
child_dialect_count |
Child dialect count | integer | CCL | 0% | 6 | 0, 0, 2, 2, 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 0% | 77 | -11.2958, -11.61, -9.20699, -10.2441, -11.2969 |
longitude |
longitude | float | 0% | 77 | 166.498, 169.85, 161.158, 161.432, 166.499 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLB, SLB, SLB, SLB, SLB |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 1 | Total, Total, Total, Total, Total |
human_development_index |
Human development index | float | SEL | 0% | 24 | 0.587, 0.59, 0.596, 0.599, 0.603 |
health_index |
Health index | float | SEL | 0% | 32 | 0.711, 0.713, 0.715, 0.716, 0.718 |
education_index |
Education index | float | SEL | 0% | 29 | 0.601, 0.602, 0.603, 0.604, 0.605 |
income_index |
Income index | float | SEL | 0% | 23 | 0.475, 0.478, 0.492, 0.498, 0.506 |
life_expectancy |
Life expectancy | float | SEL | 0% | 34 | 66.19, 66.36, 66.47, 66.56, 66.66 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 32 | 9.01, 9.025, 9.04, 9.055, 9.071 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 34 | 1990, 1991, 1992, 1993, 1994 |
level |
level | string | 0% | 1 | national, national, national, national, national |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric |
Fixed line subscriptions per 100 | float | SEL | 0% | 1 | 1.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 62.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .sb |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 43.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 2022.0 |
country_code |
Country code | string | SEL | 0% | 1 | SLB |
country_name |
Country name | string | SEL | 0% | 1 | Solomon Islands |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
telephones_fixed_lines_total_subscriptions_text |
telephones_fixed_lines_total_subscriptions_text | string | 0% | 1 | 7,000 (2021 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 7000.0 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 1 (2022 est.) less than 1 |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 485,000 (2022 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 485000.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 62 (2022 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | multi-channel pay-TV is available; Solomon Islands... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 2.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 43% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 1,000 (2022 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 1000.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | (2022 est.) less than 1 |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | australia-oceania/bp.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
real_gdp_per_capita_real_gdp_per_capita_2024_numeric |
Real gdp per capita 2024 (numeric) | float | SEL | 0% | 1 | 2500.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 1.761 |
country_code |
Country code | string | SEL | 0% | 1 | SLB |
country_name |
Country name | string | SEL | 0% | 1 | Solomon Islands |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
economic_overview_text |
economic_overview_text | string | 0% | 1 | lower middle-income Pacific island economy; natural... |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $2.07 billion (2024 est.) |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_numeric |
Real gdp purchasing power parity 2024 (numeric) | float | 0% | 1 | 2.07 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $2.019 billion (2023 est.) |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_numeric |
Real gdp purchasing power parity 2023 (numeric) | float | 0% | 1 | 2.019 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $1.967 billion (2022 est.) |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_numeric |
Real gdp purchasing power parity 2022 (numeric) | float | 0% | 1 | 1.967 |
real_gdp_purchasing_power_parity_note |
real_gdp_purchasing_power_parity_note | string | 0% | 1 | note: data in 2021 dollars |
real_gdp_growth_rate_real_gdp_growth_rate_2024_text |
Real gdp growth rate 2024 (text) | string | 0% | 1 | 2.5% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 2.5 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 2.7% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 2.7 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 2.4% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 2.4 |
real_gdp_growth_rate_note |
real_gdp_growth_rate_note | string | 0% | 1 | note: annual GDP % growth based on constant local currency |
real_gdp_per_capita_real_gdp_per_capita_2024_text |
Real gdp per capita 2024 (text) | string | 0% | 1 | $2,500 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $2,500 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 2500.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $2,500 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 2500.0 |
real_gdp_per_capita_note |
real_gdp_per_capita_note | string | 0% | 1 | note: data in 2021 dollars |
gdp_official_exchange_rate_text |
gdp_official_exchange_rate_text | string | 0% | 1 | $1.761 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 5.9% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 5.9 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 5.5% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 5.5 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2021_text |
Inflation rate consumer prices 2021 (text) | string | 0% | 1 | -0.1% (2021 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2021_numeric |
Inflation rate consumer prices 2021 (numeric) | float | 0% | 1 | -0.1 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
gdp_composition_by_sector_of_origin_agriculture_text |
gdp_composition_by_sector_of_origin_agriculture_text | string | 0% | 1 | 33.8% (2022 est.) |
| +109 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
electricity_access_electrification_total_population_numeric |
Electricity access percent | float | SEL | 0% | 1 | 76.0 |
country_code |
Country code | string | SEL | 0% | 1 | SLB |
country_name |
Country name | string | SEL | 0% | 1 | Solomon Islands |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
electricity_access_electrification_total_population_text |
electricity_access_electrification_total_population_text | string | 0% | 1 | 76% (2022 est.) |
electricity_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 79% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 79.0 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 75.4% |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 75.4 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 37,000 kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 37000.0 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 91.031 million kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 91.031 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 19.969 million kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 19.969 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 90.1% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 90.1 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 5.4% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 5.4 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 0.9% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 0.9 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 3.6% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 3.6 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 2,000 bbl/day (2023 est.) |
petroleum_refined_petroleum_consumption_numeric |
petroleum_refined_petroleum_consumption_numeric | float | 0% | 1 | 2000.0 |
energy_consumption_per_capita_total_energy_consumption_per_capita_2023_text |
energy_consumption_per_capita_total_energy_consumption_per_capita_2023_text | string | 0% | 1 | 5.655 million Btu/person (2023 est.) |
energy_consumption_per_capita_total_energy_consumption_per_capita_2023_numeric |
energy_consumption_per_capita_total_energy_consumption_per_capita_2023_numeric | float | 0% | 1 | 5.655 |
source_section |
source_section | string | 0% | 1 | Energy |
source_profile_path |
source_profile_path | string | 0% | 1 | australia-oceania/bp.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 3.9 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 89.9 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 26.0 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 3.57 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 180000.0 |
country_code |
Country code | string | SEL | 0% | 1 | SLB |
country_name |
Country name | string | SEL | 0% | 1 | Solomon Islands |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
environmental_issues_text |
environmental_issues_text | string | 0% | 1 | deforestation; soil erosion; damage to coral reefs |
international_environmental_agreements_party_to_text |
international_environmental_agreements_party_to_text | string | 0% | 1 | Biodiversity, Climate Change, Climate Change-Kyoto... |
international_environmental_agreements_signed_but_not_ratified_text |
international_environmental_agreements_signed_but_not_ratified_text | string | 0% | 1 | Comprehensive Nuclear Test Ban |
climate_text |
climate_text | string | 0% | 1 | tropical monsoon; few temperature and weather extremes |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 3.9% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 0.8% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 0.8 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 2.8% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 2.8 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 0.3% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 0.3 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 89.9% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 6.2% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 6.2 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 26% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 3.57% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 318,000 metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 318000.0 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 318,000 metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_numeric |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_numeric | float | 0% | 1 | 318000.0 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 8.8 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 8.8 |
waste_and_recycling_municipal_solid_waste_generated_annually_text |
waste_and_recycling_municipal_solid_waste_generated_annually_text | string | 0% | 1 | 180,000 tons (2024 est.) |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_text |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_text | string | 0% | 1 | 6.1% (2022 est.) |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric | float | 0% | 1 | 6.1 |
total_renewable_water_resources_text |
total_renewable_water_resources_text | string | 0% | 1 | 44.7 billion cubic meters (2022 est.) |
total_renewable_water_resources_numeric |
total_renewable_water_resources_numeric | float | 0% | 1 | 44.7 |
source_section |
source_section | string | 0% | 1 | Environment |
source_profile_path |
source_profile_path | string | 0% | 1 | australia-oceania/bp.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLB |
country_name |
Country name | string | SEL | 0% | 1 | Solomon Islands |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
nationality_noun_text |
nationality_noun_text | string | 0% | 1 | Solomon Islander(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Solomon Islander |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Melanesian 95.3%, Polynesian 3.1%, Micronesian 1.2%,... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 95.3 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | australia-oceania/bp.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 28896.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 27986.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 910.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 0.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 5313.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 2335.0 |
elevation_lowest_point_numeric |
Elevation min m | float | SEL | 0% | 1 | 0.0 |
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 3.9 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 89.9 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 0.0 |
country_code |
Country code | string | SEL | 0% | 1 | SLB |
country_name |
Country name | string | SEL | 0% | 1 | Solomon Islands |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Oceania, group of islands in the South Pacific Ocean,... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 8 00 S, 159 00 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 8.0 |
map_references_text |
map_references_text | string | 0% | 1 | Oceania |
area_total_text |
area_total_text | string | 0% | 1 | 28,896 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 27,986 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 910 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly smaller than Maryland |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 0 km |
coastline_text |
coastline_text | string | 0% | 1 | 5,313 km |
maritime_claims_territorial_sea_text |
maritime_claims_territorial_sea_text | string | 0% | 1 | 12 nm |
maritime_claims_territorial_sea_numeric |
maritime_claims_territorial_sea_numeric | float | 0% | 1 | 12.0 |
maritime_claims_exclusive_economic_zone_text |
maritime_claims_exclusive_economic_zone_text | string | 0% | 1 | 200 nm |
maritime_claims_exclusive_economic_zone_numeric |
maritime_claims_exclusive_economic_zone_numeric | float | 0% | 1 | 200.0 |
maritime_claims_continental_shelf_text |
maritime_claims_continental_shelf_text | string | 0% | 1 | 200 nm |
maritime_claims_continental_shelf_numeric |
maritime_claims_continental_shelf_numeric | float | 0% | 1 | 200.0 |
maritime_claims_note |
maritime_claims_note | string | 0% | 1 | note: measured from claimed archipelagic baselines |
climate_text |
climate_text | string | 0% | 1 | tropical monsoon; few temperature and weather extremes |
terrain_text |
terrain_text | string | 0% | 1 | mostly rugged mountains with some low coral atolls |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Mount Popomanaseu 2,335 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Pacific Ocean 0 m |
natural_resources_text |
natural_resources_text | string | 0% | 1 | fish, forests, gold, bauxite, phosphates, lead, zinc, nickel |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 3.9% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 0.8% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 0.8 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 2.8% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 2.8 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 0.3% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 0.3 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 89.9% (2023 est.) |
| +10 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLB |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name_conventional_long_form_text |
country_name_conventional_long_form_text | string | 0% | 1 | none |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Solomon Islands |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | none |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Solomon Islands |
country_name_former_text |
country_name_former_text | string | 0% | 1 | British Solomon Islands |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | Spanish explorer Alvaro de MENDANA named the isles in... |
country_name_etymology_numeric |
country_name_etymology_numeric | float | 0% | 1 | 1568.0 |
government_type_text |
government_type_text | string | 0% | 1 | parliamentary democracy under a constitutional monarchy;... |
capital_name_text |
capital_name_text | string | 0% | 1 | Honiara |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 9 26 S, 159 57 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 9.0 |
capital_time_difference_text |
capital_time_difference_text | string | 0% | 1 | UTC+11 (16 hours ahead of Washington, DC, during Standard Time) |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | 11.0 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | the name derives from the local term nagho ni ara,... |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 9 provinces and 1 city*; Central, Choiseul, Guadalcanal,... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 9.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | mixed system of English common law and customary law |
constitution_history_text |
constitution_history_text | string | 0% | 1 | adopted 31 May 1978, effective 7 July 1978 |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 31.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by the National Parliament; passage of... |
international_law_organization_participation_text |
international_law_organization_participation_text | string | 0% | 1 | has not submitted an ICJ jurisdiction declaration;... |
citizenship_citizenship_by_birth_text |
Citizenship by birth (text) | string | 0% | 1 | no |
citizenship_citizenship_by_descent_only_text |
Citizenship by descent only (text) | string | 0% | 1 | at least one parent must be a citizen of the Solomon Islands |
citizenship_dual_citizenship_recognized_text |
citizenship_dual_citizenship_recognized_text | string | 0% | 1 | no |
citizenship_residency_requirement_for_naturalization_text |
citizenship_residency_requirement_for_naturalization_text | string | 0% | 1 | 7 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 7.0 |
suffrage_text |
suffrage_text | string | 0% | 1 | 21 years of age; universal |
suffrage_numeric |
suffrage_numeric | float | 0% | 1 | 21.0 |
executive_branch_chief_of_state_text |
executive_branch_chief_of_state_text | string | 0% | 1 | King CHARLES III (since 8 September 2022); represented... |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 8.0 |
| +62 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLB |
country_name |
Country name | string | SEL | 0% | 1 | Solomon Islands |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | Settlers from Papua arrived on the Solomon Islands... |
background_numeric |
background_numeric | float | 0% | 1 | 30000.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | australia-oceania/bp.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLB |
country_name |
Country name | string | SEL | 0% | 1 | Solomon Islands |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_text |
languages_text | string | 0% | 1 | Melanesian pidgin (lingua franca in much of the... |
languages_numeric |
languages_numeric | float | 0% | 1 | 1.0 |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | australia-oceania/bp.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLB |
country_name |
Country name | string | SEL | 0% | 1 | Solomon Islands |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 1,638 (2023 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 1638.0 |
trafficking_in_persons_tier_rating_text |
trafficking_in_persons_tier_rating_text | string | 0% | 1 | Tier 2 Watch List — Solomon Islands does not fully meet... |
trafficking_in_persons_tier_rating_numeric |
trafficking_in_persons_tier_rating_numeric | float | 0% | 1 | 2.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | australia-oceania/bp.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLB |
country_name |
Country name | string | SEL | 0% | 1 | Solomon Islands |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
military_and_security_forces_text |
military_and_security_forces_text | string | 0% | 1 | Ministry of Police, National Security and Correctional... |
military_and_security_forces_numeric |
military_and_security_forces_numeric | float | 0% | 1 | 2025.0 |
military_note_text |
military_note_text | string | 0% | 1 | in 2017, the Solomon Islands and Australia signed a... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 2017.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | australia-oceania/bp.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 738774.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 377067.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 361707.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 30.6 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 64.2 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 5.3 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 55.1 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 46.7 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 8.4 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 25.5 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 1.62 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 21.57 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 3.94 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | -1.47 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 26.0 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 3.57 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.05 |
sex_ratio_total_population_numeric |
Sex ratio overall | float | SEL | 0% | 1 | 1.04 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 123.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 18.6 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 77.2 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 2.72 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 1.33 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 0.24 |
country_code |
Country code | string | SEL | 0% | 1 | SLB |
country_name |
Country name | string | SEL | 0% | 1 | Solomon Islands |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
population_total_text |
population_total_text | string | 0% | 1 | 738,774 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 377,067 |
population_female_text |
population_female_text | string | 0% | 1 | 361,707 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 30.6% (male 114,246/female 108,020) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 64.2% (male 238,708/female 227,636) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 5.3% (2024 est.) (male 18,016/female 20,173) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 55.1 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 46.7 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 8.4 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 12 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 12.0 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 25.5 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 25 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 25.0 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 25.4 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 25.4 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 1.62% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 21.57 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 3.94 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | -1.47 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | most of the population lives along the coastal regions;... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 26% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 3.57% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 82,000 HONIARA (capital) (2018) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 82000.0 |
sex_ratio_at_birth_text |
sex_ratio_at_birth_text | string | 0% | 1 | 1.05 male(s)/female |
sex_ratio_0_14_years_text |
sex_ratio_0_14_years_text | string | 0% | 1 | 1.06 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.06 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 1.05 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 1.05 |
| +67 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLB |
country_name |
Country name | string | SEL | 0% | 1 | Solomon Islands |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 4.0 |
composition_ethnicity_primary_label_synth |
Melanesian | string | CCL | 0% | - | Melanesian |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Protestant 73.4% (Church of Melanesia 31.9%, South Sea... |
religions_numeric |
religions_numeric | float | 0% | 1 | 73.4 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | australia-oceania/bp.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_protestant_pct_synth |
Protestant | numeric | 0% | - | 73.4 |
composition_religion_protestant__church_of_melanesia_pct_synth |
Church of Melanesia | numeric | 0% | - | 31.9 |
composition_religion_protestant__south_sea_evangelical_pct_synth |
South Sea Evangelical | numeric | 0% | - | 17.1 |
composition_religion_protestant__seventh_day_adventist_pct_synth |
Seventh Day Adventist | numeric | 0% | - | 11.7 |
composition_religion_protestant__united_church_pct_synth |
United Church | numeric | 0% | - | 10.1 |
composition_religion_protestant__christian_fellowship_church_pct_synth |
Christian Fellowship Church | numeric | 0% | - | 2.5 |
composition_religion_roman_catholic_pct_synth |
Roman Catholic | numeric | 0% | - | 19.6 |
composition_religion_other_christian_pct_synth |
other Christian | numeric | 0% | - | 2.9 |
composition_religion_unspecified_pct_synth |
unspecified | numeric | 0% | - | 0.1 |
composition_ethnicity_melanesian_pct_synth |
Melanesian | numeric | 0% | - | 95.3 |
composition_ethnicity_polynesian_pct_synth |
Polynesian | numeric | 0% | - | 3.1 |
composition_ethnicity_micronesian_pct_synth |
Micronesian | numeric | 0% | - | 1.2 |
composition_ethnicity_other_pct_synth |
other | numeric | 0% | - | 0.3 |
composition_ethnicity_primary_share_pct_synth |
Melanesian | numeric | 0% | - | 95.3 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
civil_aircraft_registration_country_code_prefix_text |
Civil aircraft registration country code prefix text | string | SEL+ | 0% | 1 | H4 |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 36.0 |
country_code |
Country code | string | SEL | 0% | 1 | SLB |
country_name |
Country name | string | SEL | 0% | 1 | Solomon Islands |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
civil_aircraft_registration_country_code_prefix_numeric |
civil_aircraft_registration_country_code_prefix_numeric | float | 0% | 1 | 4.0 |
airports_text |
airports_text | string | 0% | 1 | 36 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 2 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 2.0 |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 25 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 25.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | general cargo 8, oil tanker 1, other 16 |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 8.0 |
ports_total_ports_text |
ports_total_ports_text | string | 0% | 1 | 6 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 6.0 |
ports_large_text |
ports_large_text | float | 0% | 1 | 0 |
ports_large_numeric |
ports_large_numeric | float | 0% | 1 | 0.0 |
ports_medium_text |
ports_medium_text | float | 0% | 1 | 0 |
ports_medium_numeric |
ports_medium_numeric | float | 0% | 1 | 0.0 |
ports_small_text |
ports_small_text | float | 0% | 1 | 2 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 2.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 4 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 4.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 1 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 1.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Gizo Harbor, Honiara, Port Noro, Ringgi Cove, Tulaghi, Yandina |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | australia-oceania/bp.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLB |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Solomon Islands |
admin_code |
Admin code | string | SEL | 0% | 1 | 12472743B99117850257981 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 27198.3749 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 454421 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 16.71 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLB, SLB, SLB, SLB, SLB |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
admin_name |
Admin name | string | SEL | 0% | 10 | Malaita, Guadalcanal, Western, Capital Territory... |
admin_code |
Admin code | string | SEL | 0% | 10 | 17018030B28135645457785, 17018030B21058058503942,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 10 | 4414.2621, 5316.8532, 5190.7609, 30.3014, 3096.1513 |
pop_2024 |
Population count | integer | SEL | 0% | 10 | 122965, 109195, 57260, 57159, 33224 |
pop_density_2024 |
Population density | float | SEL | 0% | 10 | 27.86, 20.54, 11.03, 1886.35, 10.73 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLB |
admin_level |
Admin level | string | SEL | 0% | 1 | locality |
admin_name |
Admin name | string | SEL | 0% | 1 | Honiara |
admin_code |
Admin code | integer | SEL | 0% | 1 | 189 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 38.753 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 131812 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 3401.34 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 1 | 137201 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 1 | 0.961 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLB, SLB, SLB, SLB, SLB |
society_id |
Society id | string | CCL | 0% | 7 | Ig12, Ig18, Ig20, Ig6, Ig8 |
society_name |
Society name | string | CCL | 0% | 7 | Choiseulese, Kwaio, Kaoka, Ulawans, Simboese |
language_glottocode |
Language glottocode | string | CCL | 0% | 7 | vagh1249, kwai1243, long1395, saaa1240, simb1256 |
language_name |
Language name | string | CCL | 0% | 1 | , , , , |
kinship_system |
Kinship system | string | CCL | 0% | 7 | EA001:1; EA002:1; EA003:1; EA004:1; EA005:6, EA001:0;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 7 | EA006:1; EA007:8; EA008:2; EA009:2; EA010:12, EA006:1;... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 4 | EA028:4; EA029:5; EA030:6; EA031:NA; EA032:3, EA028:NA;... |
political_complexity |
Political complexity | string | CCL | 0% | 5 | EA033:1; EA034:1; EA035:NA, EA033:NA; EA034:NA;... |
religion_importance |
Religion importance | string | CCL | 0% | 4 | EA034:1; EA112:NA, EA034:NA; EA112:NA, EA034:1;... |
residence_pattern |
Residence pattern | string | CCL | 0% | 7 | EA011:2; EA012:12; EA013:3, EA011:1; EA012:8; EA013:3,... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Solomon Islands, Solomon Islands, Solomon Islands,... |
dataset |
dataset | string | 0% | 1 | EA, EA, EA, EA, EA |
region |
region | string | 0% | 1 | , , , , |
latitude |
latitude | float | 0% | 7 | -6.69, -9.0, -9.49, -9.63, -8.0 |
longitude |
longitude | float | 0% | 7 | 156.52, 161.0, 159.82, 161.44, 157.0 |
assignment_method |
assignment_method | string | 0% | 1 | point_in_polygon, point_in_polygon, point_in_polygon,... |
assignment_confidence |
assignment_confidence | string | 0% | 1 | approximate, approximate, approximate, approximate, approximate |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | SLB, SLB |
gns_language_code |
gns_language_code | string | CCL | 0% | 2 | spa, eng |
gns_language_name |
gns_language_name | string | CCL | 0% | 2 | Spanish, English |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 2 | 5, 1 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 2 | 83.3333, 16.6667 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 1 | 0, 0 |
gns_dominant_script_code |
gns_dominant_script_code | string | CCL | 0% | 1 | , |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 1 | , |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | SLB |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Solomon Islands |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 2 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9923 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 12924 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 9151 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 12923 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 1 |
gns_source_build_date |
gns_source_build_date | string | 0% | 1 | Wed, 05 Aug 2026 |
gns_source_change_date |
gns_source_change_date | string | 0% | 1 | 2026-08-05 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 3800 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 3063 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 4417 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 2898 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 717 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 660 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 3795 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 2399 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 34 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 11 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 136 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 110 |
gns_name_count_undersea |
gns_name_count_undersea | integer | 0% | 1 | 24 |
gns_feature_count_undersea |
gns_feature_count_undersea | integer | 0% | 1 | 9 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 1 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 1 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLB |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 1 | Solomon Islanders |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 1 | IRRELEVANT |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 1 | 1.0 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 1 | 94001000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 2021 |
group_relevance |
group_relevance | string | 0% | 1 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 1 | Honiara |
country_code |
Country code | string | SEL | 0% | 1 | SLB |
population |
Population count | integer | SEL | 0% | 1 | 137201 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 1 | 189 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Solomon Islands |
population_year |
population_year | integer | 0% | 1 | 2025 |
latitude |
latitude | string | 100% | - | - |
longitude |
longitude | string | 100% | - | - |
region |
region | string | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
oc_anti_money_laundering |
oc_anti_money_laundering | numeric | 0% | 1 | - |
oc_arms_trafficking |
oc_arms_trafficking | numeric | 0% | 1 | - |
oc_cannabis_trade |
oc_cannabis_trade | numeric | 0% | 1 | - |
oc_cocaine_trade |
oc_cocaine_trade | numeric | 0% | 1 | - |
oc_criminal_actors |
oc_criminal_actors | numeric | 0% | 1 | - |
oc_criminal_markets |
oc_criminal_markets | numeric | 0% | 1 | - |
oc_criminal_networks |
oc_criminal_networks | numeric | 0% | 1 | - |
oc_criminality |
oc_criminality | numeric | 0% | 1 | - |
oc_cyber_dependent_crimes |
oc_cyber_dependent_crimes | numeric | 0% | 1 | - |
oc_economic_regulatory_capacity |
oc_economic_regulatory_capacity | numeric | 0% | 1 | - |
oc_extortion_and_protection_racketeering |
oc_extortion_and_protection_racketeering | numeric | 0% | 1 | - |
oc_fauna_crimes |
oc_fauna_crimes | numeric | 0% | 1 | - |
oc_financial_crimes |
oc_financial_crimes | numeric | 0% | 1 | - |
oc_flora_crimes |
oc_flora_crimes | numeric | 0% | 1 | - |
oc_foreign_actors |
oc_foreign_actors | numeric | 0% | 1 | - |
oc_government_transparency_and_accountability |
oc_government_transparency_and_accountability | numeric | 0% | 1 | - |
oc_heroin_trade |
oc_heroin_trade | numeric | 0% | 1 | - |
oc_human_smuggling |
oc_human_smuggling | numeric | 0% | 1 | - |
oc_human_trafficking |
oc_human_trafficking | numeric | 0% | 1 | - |
oc_illicit_trade_in_excisable_goods |
oc_illicit_trade_in_excisable_goods | numeric | 0% | 1 | - |
oc_international_cooperation |
oc_international_cooperation | numeric | 0% | 1 | - |
oc_judicial_system_and_detention |
oc_judicial_system_and_detention | numeric | 0% | 1 | - |
oc_law_enforcement |
oc_law_enforcement | numeric | 0% | 1 | - |
oc_mafia_style_groups |
oc_mafia_style_groups | numeric | 0% | 1 | - |
oc_national_policies_and_laws |
oc_national_policies_and_laws | numeric | 0% | 1 | - |
oc_non_renewable_resource_crimes |
oc_non_renewable_resource_crimes | numeric | 0% | 1 | - |
oc_non_state_actors |
oc_non_state_actors | numeric | 0% | 1 | - |
oc_political_leadership_and_governance |
oc_political_leadership_and_governance | numeric | 0% | 1 | - |
oc_prevention |
oc_prevention | numeric | 0% | 1 | - |
oc_private_sector_actors |
oc_private_sector_actors | numeric | 0% | 1 | - |
| +5 more extension fields — download the CSV/Parquet to see them all. | |||||
Which languages name the landscape here, and in which writing systems. A language's toponymic footprint and its speaker population are different measures and often diverge.
| Language | Place names | Share | Script |
|---|---|---|---|
| Spanish (spa) | 5 | 83.3% | — |
| English (eng) | 1 | 16.7% | — |
9,151 distinct features ·
2 languages ·
0 scripts ·
1 conventional English name
Source: NGA GEOnet Names Server
(public domain) · rebuilt Wed, 05 Aug 2026.
Names follow the US/BGN convention.
The data providers this country's datasets are sourced from — each links out to the provider.
| Source | Type | Access |
|---|---|---|
| SPC Pacific Data Hub (Pacific Community) | international_organization | api |
| HDX COD — Population Statistics (OCHA/UNFPA) | international_organization | bulk_download |
| Global Data Lab | academic | api |
| Ethnic Power Relations Dataset | academic | bulk_download |
| D-PLACE (Database of Places, Language, Culture & Environment) | academic | bulk_download |
| World Bank Open Data | international_organization | api |
| UNHCR Refugee Data Finder (UN High Commissioner for Refugees) | international_organization | api |
| Glottolog Language Catalog | academic | bulk_download |
| GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT) | academic | bulk_download |
| NGA GEOnet Names Server (GNS) | official_government | bulk_download |
| LandScan Global (ORNL — Oak Ridge National Laboratory) | research_institution | earth_engine |
| GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre) | international_organization | bulk_download |
| OpenFactBook | community_compilation | bulk_download |
Pick datasets and admin level(s). You'll get a .zip with one CSV per dataset, each filtered to the levels you choose.